A machine learning-powered web application for accident severity detection

VD Chennupati, YV Reddy, BSK Kanth… - 2023 5th …, 2023 - ieeexplore.ieee.org
The severity of road accidents has been a major concern for transportation safety. Despite
various efforts to reduce accident rates, the inability to accurately predict and detect the …

Temporal shift and spatial attention-based two-stream network for traffic risk assessment

C Liu, Z Li, F Chang, S Li, J Xie - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
On-board vision based traffic risk assessment is a challenging task for intelligent driving
systems, which has some special challenges including spatial-temporal feature extraction …

Feature fusion in multimodal emotion recognition system for enhancement of human-machine interaction

S Veni, R Anand, D Mohan… - IOP conference series …, 2021 - iopscience.iop.org
Emotion Recognition (ER) systems is very much important for interpersonal relationship.
Emotions are developed by some physiological changes. The straightforward of this effort is …

[PDF][PDF] Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage.

N Algiriyage, R Prasanna, K Stock, E Hudson-Doyle… - ISCRAM, 2021 - researchgate.net
Traffic emergencies and resulting delays cause a significant impact on the economy and
society. Traffic flow estimation is one of the early steps in urban planning and managing …

[PDF][PDF] Traffic surveillance video analytics: A concise survey

H Ghahremannezhad, C Liu, H Shi - Proc. 18th Int. Conf. Mach …, 2022 - researchgate.net
With the evolution of intelligent transportation systems, video data obtained from traffic
scenes has become one of the most beneficial sources of information. The recent advances …

Designing a Wearable Jacket for the Visually Impaired People

R Anand, RV Vardhan, KJ Kalyan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
One of the most crucial components of each living thing is sight. It enables one to see what is
in their environment, including vital items like paths, barriers, and other things. But consider …

Intelligent cctv footage analysis with sound source separation, object detection and super resolution

Y Khare, A Ramesh, V Chandran, S Veerasamy… - … : Proceedings of ICICIT …, 2022 - Springer
CCTV cameras are found everywhere nowadays and are used to monitor, secure, and
protect your property, or at the very least serves as intelligent CCTV footage analysis with …

Object Size Measurement from CCTV footage using deep learning

SS Ankad, BS Raj, A Nasreen, S Mathur… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Closed-circuit television (CCTV) cameras are being extensively installed in the cities,
apartments, homes, restaurants, educational institutions, shops and so on producing lots of …

The Identification of Intersection Entrance Accidents Based on Autoencoder

Y Du, F Sun, F Jiao, B Liu, X Wang, P Zhao - Sustainability, 2023 - mdpi.com
Traffic collisions are one of the leading causes of traffic congestion. In the case of urban
intersections, traffic accidents can even result in widespread traffic paralysis. To solve this …

Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

ST Fu, BT Lau, MKT Tee, BCS Loh - Proceedings of the Future …, 2022 - Springer
Road traffic accident recognition is essential in providing timely information to healthcare
authorities for reducing fatalities. This area of research is heavily dependent on traffic flow …